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A simple method for visualizing the differences between related receptor sites.
- Source :
-
Journal of molecular graphics & modelling [J Mol Graph Model] 2002 Dec; Vol. 21 (3), pp. 217-25. - Publication Year :
- 2002
-
Abstract
- Pastor and Cruciani [J. Med. Chem. 38 (1995) 4637] and Kastenholz et al. [J. Med. Chem. 43 (2000) 3033] pioneered methods for comparing related receptors, with the ultimate goal of designing selective ligands. Such methods start with a reasonable superposition of high-resolution three-dimensional (3D) structures of the receptors. Next, molecular field maps are calculated for each receptor. Then the maps are analyzed to determine which map features are correlated with a particular subset of receptors. We present a method FLOGTV, based on the trend vector paradigm [J. Chem. Inf. Comput. Sci. 25 (1985) 64] to perform the analysis. This is mathematically simpler than the GRID/CPCA method of Kastenholz et al. and allows for the simultaneous comparison of many receptor structures. Also, the trend vector paradigm provides a method of selecting isopotential contours that are well above "noise". We demonstrate the method on four examples: HIV proteases versus two-domain acid proteases, thrombin versus trypsin and factor Xa, bacterial dihydrofolate reductases (DHFRs) versus vertebrate DHFRs, and P38 versus ERK protein kinases.
- Subjects :
- Algorithms
Animals
Bacterial Proteins chemistry
Binding Sites
Computer Simulation
Factor Xa chemistry
HIV Protease chemistry
Humans
Ligands
Mitogen-Activated Protein Kinase 1 chemistry
Mitogen-Activated Protein Kinase 3
Mitogen-Activated Protein Kinases chemistry
Models, Molecular
Molecular Conformation
Molecular Structure
Rats
Structure-Activity Relationship
Tetrahydrofolate Dehydrogenase chemistry
Thrombin metabolism
Trypsin chemistry
p38 Mitogen-Activated Protein Kinases
Protein Conformation
Receptors, Cell Surface chemistry
Subjects
Details
- Language :
- English
- ISSN :
- 1093-3263
- Volume :
- 21
- Issue :
- 3
- Database :
- MEDLINE
- Journal :
- Journal of molecular graphics & modelling
- Publication Type :
- Academic Journal
- Accession number :
- 12463640